The project was about predicting which class of passengers survived , for example-male,female ,children .The project consists of two files ,1st one being the MinorProject which involved in cleaning the date by removing unwanted parameters . It also involved in analysing the various relationship of independent variables through use of various graphs of matplotlib,seaborn and numpy library besides using the pandas for importing the dataset
The second project is Major Project which involved in predicting the model based on the data cleaned in the MinorProject .I used Regression , Logistic Regression,KNN,Decision Trees,Random Forests of which the most appropriate one turned out to be the Random Forests with 82.06% accuracy .